content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
import torch
import getopt
import math
import numpy
import os
import PIL
import PIL.Image
import sys
import torch.nn.functional as F
import torchvision.transforms as transforms
import skimage.io as io
import numpy as np
from skimage import morphology
from scipy import ndimage
import math
transform = transforms.Compos... | python |
import ssl
import sys
import json
import os
import requests
import toml
import atexit
import re
import traceback
from pyVim import connect
from pyVmomi import vim
from pyVmomi import vmodl
# GLOBAL_VARS
DEBUG = False
# CONFIG
VC_CONFIG = '/var/openfaas/secrets/vcconfig'
service_instance = None
class bgc:
HEADER... | python |
from datetime import datetime
from product import Product
class Slides(Product):
def __init__(self, raw_product):
Product.__init__(self, raw_product)
bib_info = raw_product.get('slides', {})
self._parse_bib_info(bib_info)
def _parse_bib_info(self, bib_info):
self._repository =... | python |
from django.shortcuts import render
from django.http import HttpResponse
from django.template import loader
from data_crystal.settings import URL_PREFIX
from data_manager.models import Data
###############################################################################
def app_home(request):
template = loader.get_temp... | python |
import argparse
import torch
import torch.nn.functional as F
from gat_conv import GATConv
from torch.nn import Linear
from datasets import get_planetoid_dataset
from snap_dataset import SNAPDataset
from suite_sparse import SuiteSparseMatrixCollection
from train_eval_cs import run
import pdb
from torch_geometric.nn impo... | python |
import os
from config.defaults import *
if os.environ.get("ENV") == 'dev':
print("==== Loading DEV environment ====")
from config.local import *
elif os.environ.get("ENV") == 'docker':
print("==== Loading Docker environment ====")
from config.docker import *
else:
print("==== Loading HERKOU enviro... | python |
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import gym
import numpy as np
from stable_baselines3.common.distributions import SquashedDiagGaussianDistribution
import torch as th
from torch.distributions.multivariate_normal import MultivariateNormal
import torch.nn as nn
from torch.nn.utils ... | python |
import os
import urllib2
import uuid
import falcon
import mimetypes
import requests
import logging
from datetime import datetime
__author__ = 'Maged'
logging.basicConfig(filename='dropbox_upload_manager.log', level=logging.DEBUG)
WGET_CMD = '/usr/bin/wget'
ALLOWED_TYPES = (
'text/plain',
'image/gif',
'i... | python |
from unittest import TestCase, main
from os import remove
from os.path import exists, join
from datetime import datetime
from shutil import move
from biom import load_table
import pandas as pd
from qiita_core.util import qiita_test_checker
from qiita_db.analysis import Analysis, Collection
from qiita_db.job import Jo... | python |
# Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='pdt-r']/div[@class='t']/div[@class='l']/h1",
'price' : "//div[@class='l']/div/p/span",
'category' : "//body/form[@id... | python |
"""pydantic models for GeoJSON Feature objects."""
from typing import Dict, Generic, List, Optional, TypeVar
from pydantic import Field, validator
from pydantic.generics import GenericModel
from geojson_pydantic.geometries import Geometry
from geojson_pydantic.types import BBox
Props = TypeVar("Props", bound=Dict)
... | python |
"""Async version of stream-unzip (https://github.com/uktrade/stream-unzip). MIT License."""
import zlib
from struct import Struct
async def stream_unzip(zipfile_chunks, chunk_size=65536):
local_file_header_signature = b'\x50\x4b\x03\x04'
local_file_header_struct = Struct('<H2sHHHIIIHH')
zip64_compressed_... | python |
"""
Given two sequences ‘s1’ and ‘s2’, write a method to find the length
of the shortest sequence which has ‘s1’ and ‘s2’ as subsequences.
Example 2:
Input: s1: "abcf" s2:"bdcf"
Output: 5
Explanation: The shortest common super-sequence (SCS) is "abdcf".
Example 2:
Input: s1: "dynamic" s2:"programming"
Output: 1... | python |
"""The yale_smart_alarm component."""
| python |
import numpy as np #import numpy library
#intergers
i=10
print(type(i)) #print out the data type 1
a_i = np.zeros(i,dtype=int) #declare an array of ints
print(type(a_i)) #will return ndarray
print(type(a_i[0])) #will return int64
#floats
x = 119.0 #floating point number
print(type(x)) #print out the... | python |
"""Utilties for distributed processing"""
import horovod.tensorflow.keras as hvd
def rank():
try:
return hvd.rank()
except ValueError:
return 0
def barrier():
try:
hvd.allreduce([], name='Barrier')
except ValueError:
pass
| python |
import os
import time
import pytest
from rhcephcompose.compose import Compose
from kobo.conf import PyConfigParser
import py.path
@pytest.fixture
def conf(fixtures_dir):
conf_file = os.path.join(fixtures_dir, 'basic.conf')
conf = PyConfigParser()
conf.load_from_file(conf_file)
return conf
class Test... | python |
# Copyright 2020 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | python |
# Copyright (c) 2011 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | python |
'''
Created on Jul 13, 2018
@author: friedl
'''
import subprocess
import sys
def run_bwa_aln(genome_index, fastq_in_file, sai_out_file, bwa_path='bwa', threads=1, R_param=None):
''' calls bwa aln '''
# build bwa command
command = [bwa_path, 'aln', '-t', str(threads), '-f', sai_out_file]
if(R_par... | python |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
Given the taxonomy output from AlchemyAPI, for each level of taxonomies, extract the graph
so that the taxons in this level are connected based on
***Jaccardi score*** for the users sharing these taxons in their tweets
"""
import codecs
from collections import defau... | python |
# Copyright 2017 Neosapience, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | python |
# problems init file
from tigerforecast.problems.core import Problem
from tigerforecast.problems.sp500 import SP500
from tigerforecast.problems.uci_indoor import UCI_Indoor
from tigerforecast.problems.enso import ENSO
from tigerforecast.problems.crypto import Crypto
from tigerforecast.problems.random import Random
fro... | python |
import sys
sys.path.append('..')
import torch.nn as nn
import torch
class ConvBlock(nn.Module):
"""Layer to perform a convolution followed by LeakyReLU
"""
def __init__(self, in_channels, out_channels):
super(ConvBlock, self).__init__()
self.conv = Conv3x3(in_channels, out_channels)
... | python |
import os
import pickle
import socket
import threading
import time
from cryptography.fernet import Fernet
from scripts import encryption
from scripts.consts import MessageTypes
# IP = socket.gethostbyname(socket.gethostname())
IP = 'localhost'
PORT = 8004
class Server:
def __init__(self):
self.active_co... | python |
#!/usr/bin/env python
import pytest
import os
import sys
import logging
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
from pathlib import Path
from dselib.thread import initTLS
initTLS()
from dselib.context import DSEContext
from dselib.defaults import Defaults
from dselib... | python |
# -*- coding: utf-8 -*-
"""
Created on Wed May 27 20:06:01 2015
@author: Thomas
"""
# Python standard library imports
import csv
import os
def main():
costs = []
for file in os.listdir("reformatted/"):
print 'getting data from.. ' + file
cost_total = []
cost_2000 = []
... | python |
class SveaException(Exception):
pass
class MissingFiles(SveaException):
pass
class DtypeError(SveaException):
pass
class PathError(SveaException):
pass
class PermissionError(SveaException):
pass
class MissingSharkModules(SveaException):
pass
| python |
from __future__ import print_function
import yaml
from cloudmesh.common.util import path_expand
from cloudmesh.shell.command import PluginCommand
from cloudmesh.shell.command import command, map_parameters
from cloudmesh.openapi3.function.server import Server
from cloudmesh.common.console import Console
from cloudmes... | python |
#! /usr/bin/env python
"""
Author: Scott H. Hawley
Based on paper,
A SOFTWARE FRAMEWORK FOR MUSICAL DATA AUGMENTATION
Brian McFee, Eric J. Humphrey, and Juan P. Bello
https://bmcfee.github.io/papers/ismir2015_augmentation.pdf
"""
from __future__ import print_function
import numpy as np
import librosa
from random impo... | python |
text = input()
for index, letter in enumerate(text):
if letter == ":":
print(letter + text[index + 1])
| python |
class Node:
def __init__(self, val):
self.val = val
self.left = left
self.right = right
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
| python |
import argparse
import datetime
import fnmatch
import os
import pickle
import re
from time import time
from typing import List
import tensorflow.keras
import numpy
import numpy as np
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, TensorBoard
from tensorflow.keras.preprocessin... | python |
lst = ["A","guru","sabarish","kumar"]
last=lst[-1]
length=0
for i in lst:
length=length+1
if i == last:
break
print("The length of list :",length)
| python |
def dp(n, k):
if | python |
# Copyright (c) nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/vulnerablecode/
# The VulnerableCode software is licensed under the Apache License version 2.0.
# Data generated with VulnerableCode require an acknowledgment.
#
# You may not use this software except in compliance ... | python |
#!/usr/bin/env python3
# encoding: utf-8
import re
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
from collections import OrderedDict
import torch
import torch.nn as nn
import math
import numpy as np
import time
import os
import sys
import torchvision
#__all__ = ['DenseNet121','DenseNet169... | python |
from django.apps import AppConfig
class BizcontactsConfig(AppConfig):
name = 'bizcontacts'
| python |
'''
--- Day 9: Encoding Error ---
With your neighbor happily enjoying their video game, you turn your attention to an open data port on the little screen in the seat in front of you.
Though the port is non-standard, you manage to connect it to your computer through the clever use of several paperclips. Upon conn... | python |
import os
import subprocess
import unittest
from fs import open_fs
from celery import Celery, group
import magic
from fs.copy import copy_file
from parameterized import parameterized
app = Celery('test_generators')
app.config_from_object('unoconv.celeryconfig')
app.conf.update({'broker_url': 'amqp://guest:guest@local... | python |
from .base import BaseDocument
import markdown
import html_parser
class MarkdownDocument(BaseDocument):
def __init__(self, path):
self.path = path
def read(self):
self.document = open(self.path, "r")
text = self.document.read()
html = markdown.markdown(text)
return html_parser.html_to_text(html)
def c... | python |
while True:
try:
string = input()
print(string)
except EOFError:
break | python |
# Eerst met PCA. Deze resulteert nu in 3 coponenten, waarvoor je dus twee plot nodig hebt
pca = PCA()
pcas = pca.fit_transform(X)
fig = plt.figure(figsize=(15, 8))
ax = fig.add_subplot(121)
plt.scatter(pcas[:, 0], pcas[:, 1], c=color, cmap=plt.cm.Spectral)
ax = fig.add_subplot(122)
plt.scatter(pcas[:, 2], pcas[:, 1], c... | python |
# Copyright (c) 2019 Dan Ryan
# MIT License <https://opensource.org/licenses/mit>
from __future__ import absolute_import, unicode_literals
import collections
import csv
import io
import pathlib
import sqlite3
import tempfile
import uuid
from typing import Any, Dict, Generator, List, Optional, Set, Tuple, Union
impor... | python |
import abc
import flask
from flask import jsonify, make_response
from ..app.swagger_schema import Resource, Schema
from ..extensions.audit import AuditLog
from ..logger.app_loggers import logger
from ..swagger import AfterResponseEventType, BeforeRequestEventType, BeforeResponseEventType
class ResourceResponse:
... | python |
# -*- coding: utf-8 -*-
"""
Module for common converters settings and functions
"""
import os
from config import log, root_directory, DEFAULT_LANGUAGE
def db_get_statistic(models_list):
"""
:return:
"""
log.info("Start to get statistic of imported items:")
[log.info("%s: %s", model.__name__, mode... | python |
from django.conf.urls import url
from django.contrib.auth.views import logout
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^change_city/$', views.change_city, name='change_city'),
url(r'^parse/$', views.parse, name='parse'),
url(r'^logout/$', logout, {'next_page': ... | python |
max_n1 = int(input())
max_n2 = int(input())
max_n3 = int(input())
for num1 in range(2, max_n1 + 1, 2):
for num2 in range(2, max_n2 + 1):
for num3 in range(2, max_n3 + 1, 2):
if num2 == 2 or num2 == 3 or num2 == 5 or num2 == 7:
print(f"{num1} {num2} {num3}") | python |
from typing import Callable, Dict, Tuple, Any
__all__ = ['HandlerResponse', 'Handler']
HandlerResponse = Tuple[int, Dict[str, str], str]
Handler = Callable[[Dict[str, Any], Dict[str, str]], HandlerResponse]
| python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | python |
import sys
# cyheifloader allows specifying the path to heif.dll on Windows
# using the environment variable LIBHEIF_PATH.
from cyheifloader import cyheif
from PIL import Image
from PIL.ExifTags import TAGS
# Print libheif version
print(f'LibHeif Version: {cyheif.get_heif_version()}')
file_name = sys.ar... | python |
from bibliopixel.animation.matrix import Matrix
try:
from websocket import create_connection
except ImportError:
create_connection = None
import threading
import numpy as np
WS_FRAME_WIDTH = 640
WS_FRAME_HEIGHT = 480
WS_FRAME_SIZE = WS_FRAME_WIDTH * WS_FRAME_HEIGHT
def clamp(v, _min, _max):
... | python |
import os
import json
from pathlib import Path
import yaml
import unittest
import click
from click.testing import CliRunner
os.environ['QA_TESTING'] = 'true'
# Missing:
# - tests with --share
# - tests with CI=ON CI_COMMIT=XXXXXX
class TestQaCli(unittest.TestCase):
@classmethod
def setUpClass(self):
self.p... | python |
ASCII_MAZE = """
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
S | | | | | |
+-+ + +-+-+ + + + + +-+ + + +-+-+-+ + + +
| | | | | | | | | | | | | | |
+ + +-+ + +-+ + +-+-+ +-+-+ +-+-+ + + + +
| | | | | | | |
+-+-+-+-+-+ +-+-+ +-+ +-+-+ +-+-+-+-+-+ +
| | ... | python |
from Instruments.devGlobalFunctions import devGlobal
class CounterClass(devGlobal):
# Human readable name for the gui, note: Needs to be unique
name = "Counter"
def __init__(self, *args):
devGlobal.__init__(self, *args)
self.func_list = self.func_list + [
self.C... | python |
from . import config
from .genome import Genome
class Population():
def __init__(self, default=True):
self.genomes = []
self.speciesRepresentatives = []
self.species = 0
if default:
self.initialize()
def initialize(self):
for i in range(config.populationSiz... | python |
from __future__ import print_function
import setuptools
import sys
# Convert README.md to reStructuredText.
if {'bdist_wheel', 'sdist'}.intersection(sys.argv):
try:
import pypandoc
except ImportError:
print('WARNING: You should install `pypandoc` to convert `README.md` '
'to reSt... | python |
# Module to describe all the potential commands that the Renogy Commander
# supports.
#
# Author: Darin Velarde
#
#
from collections import namedtuple
# I typically don't like import * but I actually need every symbol from
# conversions.
from conversions import *
# Register
# ** immutable data type **
# Represents ... | python |
# 视觉问答模型
from keras.layers import Conv2D, MaxPooling2D, Flatten
from keras.layers import Input, LSTM, Embedding, Dense
from keras.models import Model, Sequential
import keras
# First, let's define a vision model using a Sequential model.
# This model will encode an image into a vector.
vision_model = Sequential()
visi... | python |
# Generated by Django 3.1.3 on 2020-12-07 23:51
from django.db import migrations, models
import django.db.models.deletion
import django_update_from_dict
class Migration(migrations.Migration):
initial = True
dependencies = [
('users', '0003_auto_20201206_1634'),
]
operations = [
mig... | python |
from django.contrib.auth import logout, authenticate, login
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.core.paginator import Paginator
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, get_object_or_40... | python |
from typing import Any # NOQA
import optuna
from optuna._experimental import experimental
from optuna._imports import try_import
with try_import() as _imports:
from catalyst.dl import Callback
if not _imports.is_successful():
Callback = object # NOQA
@experimental("2.0.0")
class CatalystPruningCallback(... | python |
#!/usr/bin/python
"""Copyright 2016 Google Inc. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable l... | python |
import pygame
from Clock import Clock
from Timer import Timer
class TileManager(object):
# Call constructor
def __init__(self, screenWidth, screenHeight, tileWidth, tileHeight, tileImage, tileType):
self.tiles = []
self.tileWidth = tileWidth
self.tileHeight = tileHeight
self.scr... | python |
"""In this module are all SuperCollider Object related classes"""
| python |
# Crie um programa que peça um número ao usuário e retorne se antecessor e o seu sucessor.
print('=-'*7 'DESAFIO 7' ''=-'*7)
n = int(input('Digite um número: '))
print('Analisando o número {}, seu antecessor é {} e seu sucessor é {} '.format(n, n - 1, n + 2))
| python |
import pygame
from pygame.locals import QUIT, K_ESCAPE, K_a, K_d, K_s, K_SPACE
from time import time
from os.path import dirname, realpath
def main():
running, settings = load()
while running:
settings = update(settings)
draw(settings)
running = check_exit(settings)
pygame.quit()
de... | python |
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under... | python |
from vplot import GetOutput
import subprocess as sub
import numpy as np
import os
cwd = os.path.dirname(os.path.realpath(__file__))
import warnings
import h5py
import multiprocessing as mp
import sys
import bigplanet as bp
def test_bpstats():
#gets the number of cores on the machine
cores = mp.cpu_count()
... | python |
import cv2
import pickle
import face_recognition
class recognize:
def __init__(self):
self.data = pickle.loads(open("./encodings.pickle", "rb").read())
self.detector = cv2.CascadeClassifier("./haarcascade_frontalface_default.xml")
def recognize_face(self, frame):
gray = cv2.cv... | python |
token = 'BOT-TOKEN'
initial_extensions = ['cogs.general', 'cogs.groups', 'cogs.lights', 'cogs.scenes']
prefix = '>'
owner_only = True
owner_id = DISCORD-USER-ID
bridge_ip = 'BRIDGE-IP' | python |
# --------------
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# code starts here
df = pd.read_csv(path)
total_length = len(df)
print(total_length)
fico = 0
for i in df['fico'] > 700:
fico += i
print(fico)
p_a = fico/total_length
print(round(p_a, 2))
debt = 0
for i in df['purpose'] ==... | python |
import requests, zipfile
import os
import pandas as pd
def gdpimporter(url, filename=None, filetype='csv'):
"""Download the zipped file, unzip, rename the unzipped files, and
outputs a dataframe along with the title from meta data.
This function downloads the zipped data from URL to the local path,
un... | python |
from functools import partial
from typing import Callable, Union
import jax
import jax.numpy as np
from rbig_jax.transforms.histogram import get_hist_params
from rbig_jax.transforms.inversecdf import (
invgausscdf_forward_transform,
invgausscdf_inverse_transform,
)
from rbig_jax.transforms.kde import get_kde_... | python |
# -*- coding: utf-8 -*-
import csv
from collections import defaultdict, namedtuple
from datetime import datetime, timedelta
import pkg_resources
import re
from zipfile import ZipFile
from enum import Enum, unique
from io import TextIOWrapper
Train = namedtuple("Train", ["name", "kind", "direction", "stops", "service_... | python |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
raise Exception('this code should never execute')
| python |
skills = [
{
"id" : "0001",
"name" : "Liver of Steel",
"type" : "Passive",
"isPermable" : False,
"effects" :
{
"maximumInebriety" : "+5",
},
},
{
"id" : "0002",
"name" : "Chronic Indigestion",
"type" : "Combat",
... | python |
from netmiko import ConnectHandler, file_transfer
from getpass import getpass
ios_devices = {
"host": "cisco3.lasthop.io",
"username": "pyclass",
"password": "88newclass",
"device_type": "cisco_ios",
}
source_file = "testTofu.txt"
dest_file = "testTofuBack.txt"
direction = "get"
file_... | python |
#!/usr/bin/env python3
# coding: utf-8
from threading import Thread
from queue import Queue
class TaskQueue(Queue):
def __init__(self, num_workers=1):
super().__init__()
self.num_workers = num_workers
self.start_workers()
def add_task(self, task, *args, **kwargs):
args = args ... | python |
#!/usr/bin/env python
import logging
import os
import shutil
import sys
import tempfile
from io import BytesIO
from itertools import groupby
from subprocess import Popen,PIPE, check_output
import requests
from KafNafParserPy import *
from lxml import etree
from lxml.etree import XMLSyntaxError
from .alpino_dependenc... | python |
import os
import pytest
from packaging import version
from unittest import TestCase
from unittest.mock import patch
from osbot_utils.utils.Dev import pprint
from osbot_utils.utils.Files import temp_folder, folder_files, folder_delete_all, folder_create, file_create_bytes, \
file_contents_as_bytes, file_contents, ... | python |
# Generated by Django 3.1.4 on 2021-11-13 12:20
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
import uuid
class Migration(migrations.Migration):
dependencies = [
('library_app', '0007_auto_20211113_1319'),
]
operations = [
migrations.Alte... | python |
# Original script acquired from https://github.com/adafruit/Adafruit_Python_MCP3008
# Import SPI library (for hardware SPI) and MCP3008 library.
import Adafruit_GPIO.SPI as SPI
import Adafruit_MCP3008
import time
# Hardware SPI configuration:
SPI_PORT = 0
SPI_DEVICE = 0
mcp = Adafruit_MCP3008.MCP3008(spi=SPI.SpiDev... | python |
"""
This component provides basic support for the Philips Hue system.
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/hue/
"""
import asyncio
import json
import ipaddress
import logging
import os
import async_timeout
import voluptuous as vol
from homea... | python |
import re
import sys
import boa3
from boa3 import neo
from boa3.constants import SIZE_OF_INT32, SIZE_OF_INT160, DEFAULT_UINT32
from boa3.neo import cryptography
from boa3.neo.utils.serializer import Serializer
from boa3.neo.vm.type.Integer import Integer
class NefFile:
"""
The object encapsulates the informa... | python |
"""
@author: Skye Cui
@file: layers.py
@time: 2021/2/22 13:43
@description:
"""
import tensorflow as tf
class ConvAttention(tf.keras.layers.Layer):
def __init__(self, l, h, w, c, k):
super(ConvAttention, self).__init__()
self.reshape = tf.keras.layers.Reshape((l, w * h * c))
self.layer1 =... | python |
start_case_mutation = """\
mutation startCase($case: StartCaseInput!) {
startCase(input: $case) {
case {
id
}
}
}\
"""
intervalled_forms_query = """\
query allInterForms {
allForms (metaHasKey: "interval") {
pageInfo {
startCursor
endCursor
}
edges {
node {
met... | python |
# -*- coding: utf-8 -*-
# pylint: disable=no-self-use, too-many-locals, too-many-arguments, too-many-statements, too-many-instance-attributes
"""Invite"""
import string
import time
import json
from configparser import ConfigParser
import requests
from flask import request
from library.couch_database import Co... | python |
from __future__ import annotations
from dataclasses import dataclass
from dataclasses import field
import boto3
from ..ec2api.vpcs import VPCs
from ..ec2common.ec2exceptions import *
# See vpc notes at the end of this file.
@dataclass
class VPCAttributes:
CidrBlock: str = None
DhcpOptionsId: str = None
... | python |
# coding=utf-8
from particles import Particle
class RectParticle(Particle):
def __init__(self, l):
Particle.__init__(self, l)
# super(RectParticle, self).__init__(l)
rectMode(CENTER)
self.rota = PI/3
def display(self):
stroke(0, self.lifespan)
fill(204... | python |
import pytest
from detect_secrets.core.potential_secret import PotentialSecret
from testing.factories import potential_secret_factory
@pytest.mark.parametrize(
'a, b, is_equal',
[
(
potential_secret_factory(line_number=1),
potential_secret_factory(line_number=2),
T... | python |
"""
Basic shared function to read input data for each problem; the data file
must be in the subdirectory 'input' and with the name '<prog_name>.txt',
where '<prog_name>.py' is the name of the program being run
"""
import inspect
import pathlib
def get_input():
"""
Get input data for currently running program... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Holds fixtures for the smif package tests
"""
from __future__ import absolute_import, division, print_function
import json
import logging
import os
from copy import deepcopy
import numpy as np
import pandas as pd
from pytest import fixture
from smif.data_layer import S... | python |
import os
import sys
from setuptools import setup
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist bdist_wheel')
os.system('python -m twine upload dist/*')
sys.exit()
setup()
| python |
#!/usr/bin/env python3
# Copyright (c) 2020-2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted
# provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice... | python |
# Based on https://www.geeksforgeeks.org/get-post-requests-using-python/
# importing
import requests
import time
# defining the api-endpoint
API_ENDPOINT = "https://api.gfycat.com/v1/gfycats"
# your API key here
# API_KEY = "XXXXXXXXXXXXXXXXX"
# your source code here
external_url = input("Please input the externa... | python |
import unittest
from datetime import datetime
from models import *
class Test_UserModel(unittest.TestCase):
"""
Test the user model class
"""
def setUp(self):
self.model = User()
self.model.save()
def test_var_initialization(self):
self.assertTrue(hasattr(self.model, "ema... | python |
"""
Configuration file
"""
__author__ = 'V. Sudilovsky'
__maintainer__ = 'V. Sudilovsky'
__copyright__ = 'ADS Copyright 2014, 2015'
__version__ = '1.0'
__email__ = 'ads@cfa.harvard.edu'
__status__ = 'Production'
__license__ = 'MIT'
SAMPLE_APPLICATION_PARAM = {
'message': 'config params should be prefixed with the... | python |
import asyncio
class ClientServerProtocol(asyncio.Protocol):
metrics = {}
def __init__(self):
# self.metrics = {}
self.spliter = '_#_'
self.ok_message = 'ok\n'
self.error_message = 'error\nwrong command\n\n'
def connection_made(self, transport):
self.transport = t... | python |
__author__ = 'Thomas Rueckstiess, ruecksti@in.tum.de'
from scipy import random, asarray, zeros, dot
from pybrain.structure.modules.neuronlayer import NeuronLayer
from pybrain.tools.functions import expln, explnPrime
from pybrain.structure.parametercontainer import ParameterContainer
class StateDependentLayer(Neuron... | python |
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